This third edition of Paul Murrell's classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes three new chapters: importing external images in to R; integrating the graphics and grid systems; and advanced SVG graphics. The emphasis in this third edition is on having the ability to produce detailed and customised graphics in a wide variety of formats, on being able to share and reuse those graphics, and on being able to integrate graphics from multiple systems. This book is aimed at all levels of R users. For people who are new to R, this book provides an overview of the graphics facilities, which is useful for understanding what to expect from R's graphics functions and how to modify or add to the output they produce. For intermediate-level R users, this book provides all of the information necessary to perform sophisticated customizations of plots produced in R. For advanced R users, this book contains vital information for producing coherent, reusable, and extensible graphics functions.

Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

Complex systems that bridge the traditional disciplines of physics, chemistry, biology, and materials science can be studied at an unprecedented level of detail using increasingly sophisticated theoretical methodology and high-speed computers. The aim of this book is to prepare burgeoning users and developers to become active participants in this exciting and rapidly advancing research area by uniting for the first time, in one monograph, the basic concepts of equilibrium and time-dependent statistical mechanics with the modern techniques used to solve the complex problems that arise in real-world applications. The book contains a detailed review of classical and quantum mechanics, in-depth discussions of the most commonly used ensembles simultaneously with modern computational techniques such as molecular dynamics and Monte Carlo, and important topics including free-energy calculations, linear-response theory, harmonic baths and the generalized Langevin equation, critical phenomena, and advanced conformational sampling methods. Burgeoning users and developers are thus provided firm grounding to become active participants in this exciting and rapidly advancing research area, while experienced practitioners will find the book to be a useful reference tool for the field.

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers' understanding of the graphical techniques discussed in the book. ... It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display." -Han Lin Shang, Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print. Features Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data Provides downloadable R code and data for figures at www.graphicsforstatistics.com Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.

Pour Ie cinquieme congres de la serie, COMPSTAT 82 reunit environ 500 participants d'origines scientifiques et geographiques tres variees, prouvant a l'evidence l'interet persis tant de la communaute scientifique pour tous les problemes de calculs statistiques. Le Comite de Programme charge de l'organisation scientifique du Congres etait com pose de: o S. Apelt (Republique democratique d'Allemagne) - A. Bj6rck (Suede) - H. Caussinus (France), President - Y. Escoufier (France) - A. de Falguerolles (France), Secretaire - J. W. Frane (U. S. A. ) - J. Gordesch (Republique Federale d'Allemagne) - Th. Havranek (Tchechoslovaquie) - N. Lauro (Italie) - C. Millier (France) - R. J. Mokken (pays-Bas)- R. Tomassone (France) - D. Wishart (Royaume Uni) Ce Comite a decide d'augmenter Ie nombre des conferenciers invites, cherchant de la sorte une representation des diverses ecoles ainsi que l'introduction de nouveaux themes. La tache la plus difficile a ensuite ete de selectionner une soixantaine de contributions parmi 250 soumissions. La encore Ie Comite de Programme s'est efforce de favoriser des voies qui semblaient les plus nouvelles et a essaye de maintenir une bonne repartition scientifique et geographique. Cependant, comme dans les precedents congres COMPSTAT, il a donne la preference aux propositions clairement marquees simultanement du double aspect Statistique et Calcul. Dans bien des cas, ces deux aspects sont tres lies rendant en particulier difficile et peu pertinente toute classification fine des contributions."

Kundennahe und Kundenorientierung gelten als Schlusselfaktoren zum Geschaftserfolg. Dies impliziert eine konsequente Ausrichtung von unternehmensinternen und -ubergreifenden Geschaftsprozessen auf den "Koenig Kunde". Mit diesem Themenkreis setzt sich der Schwerpunkt Geschaftsprozessmanagement auseinander. Im Abschnitt Kosten- und Deckungsbeitragsmanagement muss sich das Controlling einer kritischen Betrachtung des kundenorientierten Arbeitens unterziehen. Neuere Entwicklungen wie Data Warehousing und die Nutzung des Internet als Moeglichkeit zur Annaherung an den Kunden werden u.a. im Abschnitt Informationsmanagement diskutiert. Loesungsansatze fur den Einsatz betriebswirtschaftlicher Methoden und moderner Kommunikationstechnologie in der oeffentlichen Verwaltung bietet der Abschnitt Verwaltungsmanagement.

Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.

In order to make strategy happen there is a need for powerful management information systems. SAP focuses on the application of modern business administration concepts, e.g. Value Based Management, the Balanced Scorecard, the Management Cockpit or flexible planning methods.

The book describes the methodology and implementation of a powerful tool for enterprise management. Practical examples show how SAP Strategic Enterprise Management/Business Analytics (SAP SEM/BA) can help to improve cross functional planning, reporting and analyzing. SAP SEM/BA is a leading edge IT-solution for top management and related departments in large enterprises and groups. It demonstrates the state of the art of modern management information and decision support systems.

IT-Projekte haben in vielen Unternehmen eine zentrale Bedeutung. Sie binden Ressourcen und generieren entsprechende Kosten. Im Durchschnitt werden in Unternehmen 33 Projekte pro 1000 Mitarbeitern durchgefuhrt und pro Mitarbeiter und Jahr EUR 8.000 in IT-Projekte investiert. Von diesen Projekten werden weniger als die Halfte erfolgreich abgeschlossen.

An theoretischem Wissen respektive an der Ausbildung kann es nicht liegen. Aus Sicht der Autoren fehlt es den Projektmanagern oft an der notwendigen Reflexion, dies besonders wenn die Projekte in kritische Phasen treten. Ein Erfahrungsaustausch zwischen den Projektleitern findet vielfach aus zeitlichen Grunden nur unvollkommen statt. Hier setzen die Autoren an. Sie legen das Schwergewicht auf die kritischen Erfolgsfaktoren eines IT-Projekts. Gegliedert nach Erfolgsfaktoren fuhrt das Buch zum Thema und veranschaulicht Losungswege anhand von Beispielen aus der Praxis.

Real-Time Enterprise (RTE) ist eine Unternehmensstruktur, die durch kontinuierliche Beschleunigung der Managementprozesse die eigene Aktions- und Reaktionsgeschwindigkeit nachhaltig verbessert und verzogerungsfrei auf externe sowie interne Anderungen reagieren und damit Zeit und Kosten einsparen kann. Voraussetzungen und Rahmenbedingungen hierfur sind durchgangig integrierte Geschaftsprozesse und Informationsflusse entlang der kompletten Wertschopfungskette. Im Idealfall sind dabei alle Arbeitsprozesse in einem Unternehmen optimal aufeinander abgestimmt, so dass Data Warehouse, Supply Chain Management, Customer Relationship Management und Enterprise Resource Planning wirkungsvoll ineinander greifen. Dabei endet die Betrachtung von Prozessen und Informationen nicht an den Unternehmensgrenzen. Statt dessen sind Kunden und beteiligte Partnerfirmen beziehungsweise deren Prozesse transparent eingebunden und tauschen Informationen uber alle relevanten Ereignisse zeitnah aus. "

Highlighting the new aspects of MATLAB (R) 7.10 and expanding on many existing features, MATLAB (R) Primer, Eighth Edition shows you how to solve problems in science, engineering, and mathematics. Now in its eighth edition, this popular primer continues to offer a hands-on, step-by-step introduction to using the powerful tools of MATLAB. New to the Eighth Edition A new chapter on object-oriented programming Discussion of the MATLAB File Exchange window, which provides direct access to over 10,000 submissions by MATLAB users Major changes to the MATLAB Editor, such as code folding and the integration of the Code Analyzer (M-Lint) into the Editor Explanation of more powerful Help tools, such as quick help popups for functions via the Function Browser The new bsxfun function A synopsis of each of the MATLAB Top 500 most frequently used functions, operators, and special characters The addition of several useful features, including sets, logical indexing, isequal, repmat, reshape, varargin, and varargout The book takes you through a series of simple examples that become progressively more complex. Starting with the core components of the MATLAB desktop, it demonstrates how to handle basic matrix operations and expressions in MATLAB. The text then introduces commonly used functions and explains how to write your own functions, before covering advanced features, such as object-oriented programming, calling other languages from MATLAB, and MATLAB graphics. It also presents an in-depth look at the Symbolic Toolbox, which solves problems analytically rather than numerically.

This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Erst die elektronische Signatur wird dem E-Commerce zum Durchbruch verhelfen. Dieses Werk setzt sich mit den Akzeptanzproblemen auseinander, die beim Einsatz moderner Technologien fur die vertrauenswurdige elektronische Kommunikation entstehen. Rechtliche Fragen spielen hier eine wichtige Rolle, aber auch Moral und Kultur. Die Situation in diesen Bereichen wird im Buch diskutiert und daraus Handlungsempfehlungen fur den Verbraucher- und Datenschutz, die technische Ausgestaltung sowie den Umgang mit Risiken gegeben. Dies fuhrt zu einem visionaren Modell der Informationsgesellschaft.

Incorporating new topics and original material, Introduction to Finite and Spectral Element Methods Using MATLAB (R), Second Edition enables readers to quickly understand the theoretical foundation and practical implementation of the finite element method and its companion spectral element method. Readers gain hands-on computational experience by using the free online FSELIB library of MATLAB (R) functions and codes. With the book as a user guide, readers can immediately run the codes and graphically display solutions to a variety of elementary and advanced problems. New to the Second Edition Two new chapters with updated material Updated detailed proofs and original derivations New schematic illustrations and graphs Additional solved problems Updated MATLAB software, including improved and new computer functions as well as complete finite element codes incorporating domain discretization modules in three dimensions Suitable for self-study or as a textbook in various science and engineering courses, this self-contained book introduces the fundamentals on a need-to-know basis and emphasizes the development of algorithms and the computer implementation of essential procedures. The text first explains basic concepts and develops the algorithms before addressing problems in solid mechanics, fluid mechanics, and structural mechanics.

This open access book contains review papers authored by thirteen plenary invited speakers to the 9th International Congress on Industrial and Applied Mathematics (Valencia, July 15-19, 2019). Written by top-level scientists recognized worldwide, the scientific contributions cover a wide range of cutting-edge topics of industrial and applied mathematics: mathematical modeling, industrial and environmental mathematics, mathematical biology and medicine, reduced-order modeling and cryptography. The book also includes an introductory chapter summarizing the main features of the congress. This is the first volume of a thematic series dedicated to research results presented at ICIAM 2019-Valencia Congress.

Upgrade your knowledge to learn S/4HANA, the latest version of the SAP ERP system, with its built-in intelligent technologies, including AI, machine learning, and advanced analytics.Since the first edition of this book published as SAP ERP Financial and Controlling: Configuration and Use Management, the perspective has changed significantly as S/4HANA now comes with new features, such as FIORI (new GUI), which focuses on flexible app style development and interactivity with mobile phones. It also has a universal journal, which helps in data integration in a single location, such as centralized processing, and is faster than ECC S/3. It merges FI & CO efficiently, which enables document posting in the Controlling area setup. General Ledger Accounts (FI) and Cost Element (CO) are mapped together in a way that cost elements (both primary and secondary) are part of G/L accounts. And a mandatory setup of customer-vendor integration with business partners is included vs the earlier ECC creation with separate vendor master and customer master. This updated edition presents new features in SAP S/4HANA, with in-depth coverage of the FI syllabus in SAP S/4HANA. A practical and hands-on approach includes scenarios with real-life examples and practical illustrations. There is no unnecessary jargon in this configuration and end-user manual. What You Will Learn Configure SAP FI as a pro in S/4 Master core aspects of Financial Accounting and Controlling Integrate SAP Financial with other SAP modules Gain a thorough hands-on experience with IMG (Implementation Guide) Understand and explain the functionalities of SAP FI Who This Book Is For FI consultants, trainers, developers, accountants, and SAP FI support organizations will find the book an excellent reference guide. Beginners without prior FI configuration experience will find the step-by-step illustrations to be practical and great hands-on experience.

Dienstleistung per Internet, moderne Logistik, steigender Zeit- und Kostendruck, erhohte Qualitatsanforderungen: Dienstleister benotigen Werkzeuge zur integrierten Entwicklung von Software und Services. Das Ergebnis des Forschungsprojektes ServCASE bietet endlich das erforderliche Referenzmodell: exemplarische Vorgehensweisen, Methoden, die exakte Beschreibung einer werkzeugunterstutzten Entwicklungsplattform. Konkret - in Theorie und Praxis."

The utility simply known as "make" is one of the most enduring features of both Unix and other operating systems. First invented in the 1970s, "make" still turns up to this day as the central engine in most programming projects; it even builds the Linux kernel. In the third edition of the classic "Managing Projects with GNU make," readers will learn why this utility continues to hold its top position in project build software, despite many younger competitors.

The premise behind "make" is simple: after you change source files and want to rebuild your program or other output files, "make" checks timestamps to see what has changed and rebuilds just what you need, without wasting time rebuilding other files. But on top of this simple principle, "make" layers a rich collection of options that lets you manipulate multiple directories, build different versions of programs for different platforms, and customize your builds in other ways.

This edition focuses on the GNU version of "make," which has deservedly become the industry standard. GNU make contains powerful extensions that are explored in this book. It is also popular because it is free software and provides a version for almost every platform, including a version for Microsoft Windows as part of the free Cygwin project. "Managing Projects with GNU make," 3rd Edition provides guidelines on meeting the needs of large, modern projects. Also added are a number of interesting advanced topics such as portability, parallelism, and use with Java.

Robert Mecklenburg, author of the third edition, has used "make" for decades with a variety of platforms and languages. In this book he zealously lays forth how to get your builds to be asefficient as possible, reduce maintenance, avoid errors, and thoroughly understand what "make" is doing. Chapters on C++ and Java provide makefile entries optimized for projects in those languages. The author even includes a discussion of the makefile used to build the book.

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows how to interface R with C, Java, and other popular programing laguages and platforms.

"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results." -Nicole Kalaf-Hughes, Bowling Green State University Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The author's website provides a downloadable toolkit of Stata (R) routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata (R) dataset files to run the examples in the book.

SPSS is the international standard software package for data analysis in the social sciences. This book is the only SPSS guide designed specifically for students in the fields of sport, exercise and kinesiology. It Includes sport specific cases and data throughout.

Das Werk ist verst ndlich geschrieben und didaktisch strukturiert. Die Zusammenfassungen der einzelnen Abs tze und Kapitel erm glichen eine extrem schnelle Orientierung und verhelfen ohne Umwege zu den ben tigten Informationen.

Das Buch wendet sich an IT-Entwickler, Projektmanager und CIO's. Hauptthema ist die gezielte Entwicklung von F higkeiten (Skills) jenseits der klassischen "IT-Denke." Fakt ist, dass laut statistischer Erhebungen ber 60 Prozent aller Software-Projekte nicht zum gew nschten Erfolg f hren, d.h. nicht in Budget, Zeit oder Qualit t zur Auslieferung kommen. Wenigstens die H lfte dieser Projektfehler geht zu Lasten fehlender Skills der verantwortlichen IT-Profis. Der international erfahrene Autor arbeitet diese Problematik auf, stellt hierzu die entsprechenden Themenschwerpunkte sehr praxisnah in den Mittelpunkt und benennt konstruktive L sungen.

This book is intended for someone learning functions of a complex variable and who enjoys using MATLAB. It will enhance the exprience of learning complex variable theory and will strengthen the knowledge of someone already trained in ths branch of advanced calculus. ABET, the accrediting board for engineering programs, makes it clear that engineering graduates must be skilled in the art of programming in a language such as MATLAB (R). Supplying students with a bridge between the functions of complex variable theory and MATLAB, this supplemental text enables instructors to easily add a MATLAB component to their complex variables courses. A MATLAB (R) Companion to Complex Variables provides readers with a clear understanding of the utility of MATLAB in complex variable calculus. An ideal adjunct to standard texts on the functions of complex variables, the book allows professors to quickly find and assign MATLAB programming problems that will strengthen students' knowledge of the language and concepts of complex variable theory. The book shows students how MATLAB can be a powerful learning aid in such staples of complex variable theory as conformal mapping, infinite series, contour integration, and Laplace and Fourier transforms. In addition to MATLAB programming problems, the text includes many examples in each chapter along with MATLAB code. Fractals, the most recent interesting topic involving complex variables, demands to be treated with a language such as MATLAB. This book concludes with a Coda, which is devoted entirely to this visually intriguing subject. MATLAB is not without constraints, limitations, irritations, and quirks, and there are subtleties involved in performing the calculus of complex variable theory with this language. Without knowledge of these subtleties, engineers or scientists attempting to use MATLAB for solutions of practical problems in complex variable theory suffer the risk of making major mistakes. This book serves as an early warning system about these pitfalls.

Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What's New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.